PURPOSE: The natural history of renal cell carcinoma (RCC) is complex and not entirely explained by conventional prognostic factors. In this study we evaluated the prognostic value of carbonic anhydrase IX (CAIX) and Ki67 to predict survival in RCC. MATERIALS AND METHODS: Immunohistochemical analysis using a CAIX and a Ki67 monoclonal antibody was performed on tissue microarrays constructed from paraffin embedded specimens from 224 patients treated with nephrectomy for clear cell renal carcinoma. CAIX and Ki67 staining were correlated with clinical factors, pathological features and survival. Median followup was 34 months (range 0.3 to 117) and disease specific survival was the primary end point assessed. RESULTS: Univariate statistical analysis showed that high Ki67 staining and low CAIX staining correlated significantly with poor median survival (21 months, p < 0.001 and 22 months, p = 0.011, respectively). Each marker was highly significant for stratifying patient groups defined by T stage, Fuhrman grade, nodal status, metastatic status and performance status. On multivariate analysis CAIX and Ki67 were significant predictors of survival with an HR of 1.78 (p = 0.014) and 1.75 (p = 0.009), respectively. Although CAIX and Ki67 staining were inversely correlated (p = 0.009), Ki67 significantly substratified patient subgroups defined by high or low CAIX staining (p = 0.001 and 0.003, respectively). When Ki67 and CAIX were combined into a single parameter, RCC tumors could be stratified into low, intermediate and high risk groups with a median survival of greater than 101, 31 and 9 months, respectively (p <0.001). On multivariate analysis the combined parameter consisting of Ki67 and CAIX was a significant predictor of survival (p <0.001) and it was able to displace histological grade. CONCLUSIONS: Ki67and CAIX are useful prognostic biomarkers for RCC that improve the survival prediction and classification of kidney cancer.
PURPOSE: The natural history of renal cell carcinoma (RCC) is complex and not entirely explained by conventional prognostic factors. In this study we evaluated the prognostic value of carbonic anhydrase IX (CAIX) and Ki67 to predict survival in RCC. MATERIALS AND METHODS: Immunohistochemical analysis using a CAIX and a Ki67 monoclonal antibody was performed on tissue microarrays constructed from paraffin embedded specimens from 224 patients treated with nephrectomy for clear cell renal carcinoma. CAIX and Ki67 staining were correlated with clinical factors, pathological features and survival. Median followup was 34 months (range 0.3 to 117) and disease specific survival was the primary end point assessed. RESULTS: Univariate statistical analysis showed that high Ki67 staining and low CAIX staining correlated significantly with poor median survival (21 months, p < 0.001 and 22 months, p = 0.011, respectively). Each marker was highly significant for stratifying patient groups defined by T stage, Fuhrman grade, nodal status, metastatic status and performance status. On multivariate analysis CAIX and Ki67 were significant predictors of survival with an HR of 1.78 (p = 0.014) and 1.75 (p = 0.009), respectively. Although CAIX and Ki67 staining were inversely correlated (p = 0.009), Ki67 significantly substratified patient subgroups defined by high or low CAIX staining (p = 0.001 and 0.003, respectively). When Ki67 and CAIX were combined into a single parameter, RCC tumors could be stratified into low, intermediate and high risk groups with a median survival of greater than 101, 31 and 9 months, respectively (p <0.001). On multivariate analysis the combined parameter consisting of Ki67 and CAIX was a significant predictor of survival (p <0.001) and it was able to displace histological grade. CONCLUSIONS: Ki67and CAIX are useful prognostic biomarkers for RCC that improve the survival prediction and classification of kidney cancer.
Authors: Grant D Stewart; Fiach C O'Mahony; Thomas Powles; Antony C P Riddick; David J Harrison; Dana Faratian Journal: Nat Rev Urol Date: 2011-04-12 Impact factor: 14.432
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Authors: E Jason Abel; Tyler M Bauman; Madelyn Weiker; Fangfang Shi; Tracy M Downs; David F Jarrard; Wei Huang Journal: Hum Pathol Date: 2014-01-28 Impact factor: 3.466